Community Translation On A Social Network

ABSTRACT

Embodiments of the invention provide techniques for translating text in a social network. In one embodiment translations of text phrases are received from members of the social network. These text phrases include content displayed in a social networking system, such as content from social networking objects. A particular member is provided with content including a text phrase in a first language, and the member requests translation into another language. Responsive to this request, a translation of the text phrase is selected from a set of available translations. The selection is based on actions by friends of the member in the social network, the actions being associated with the set of available translations. These actions can the viewing of or approval of translations by the friends, for example. The selected translation is then presented to the member requesting the translation.

CROSS REFERENCE TO RELATED APPLICATIONS

This application claims the benefit of U.S. Application No. 61/005,614,filed Dec. 5, 2007, which is incorporated by reference in its entirety.

BACKGROUND

This invention relates to social networks and in particular totranslating content on a social network.

Social networks, or social utilities that track and enable connectionsbetween members (including people, businesses, and other entities), havebecome prevalent in recent years. In particular, social networkingsystems allow members to communicate relevant information moreefficiently. For example, a member may post contact information,background information, job information, hobbies, and/or othermember-specific data to a location associated with the member on asocial networking system. Other members can then review the posted databy browsing member profiles or searching for profiles including specificdata. The social networking systems also allow members to associatethemselves with other members, thus creating a web of connections amongthe members of the social networking system.

Various members of the social networking system may be competent indifferent languages (e.g., French, English). As a result, a member maynot be able to understand information posted by another member if thatposted information is not in a language known by the member. Suchlanguage barriers may reduce the range of useful connections that amember may make to other members. Also, a member may not be able tounderstand text provided by the social networking system itself if thelanguage of that text is not known to the member. This text may includeinstructions, menu items, and button labels (e.g., “Click to submit”)provided by the social networking system.

Conventionally, text is translated manually by a system operator intovarious desired languages. However, this requires effort and/or expenseby the system operator. Another option is automated translation of textbased on foreign language dictionaries, translation algorithms, or othermethods. However, automated translation is generally difficult and errorprone, often changing the meaning of the translated text or producingnon-idiomatic translations. As a result, desired translations may not beproduced, and members who need the translations will not be able toproperly use the social networking system or will not be able to connectwell with members who use certain languages.

SUMMARY

Addressing these deficiencies in existing systems, embodiments of theinvention provide techniques for more effectively and easily translatingtext in a social networking system. In one embodiment, translations oftext phrases are received from members of the social network. These textphrases can be from social networking system objects, including externalapplications running on the social networking system, or from the socialnetworking system infrastructure. Members of the social networkingsystem then vote on the received translations. The votes indicate theperceived quality of the translations by the voting members.

A translation is requested by a particular member, for example by themember viewing a webpage with a translatable phrase and the memberindicating that a translation is desired. A translation can then beselected from among available translations based on the votes and otherfactors. The votes may be used to determine quality scores for thetranslations. Weights, or credibility coefficients, may be assigned tothe votes for determining quality scores. A weight of a vote may bebased on quality scores for translations submitted by the voter. Votesby voters who are a friend of the particular member may be weighted moreheavily than votes by others. A translation is selected based on qualityscores for available translations and based on which translations wereviewed by or were rejected by friends of the member. The selectedtranslation is then presented to the member.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 illustrates a social network implemented as a social networkingwebsite, in one embodiment.

FIG. 2 is a high level block diagram illustrating a system environmentsuitable for operation of a social networking website, in oneembodiment.

FIG. 3 is a high level diagram illustrating the translation module, inone embodiment.

FIG. 4 illustrates a method for translating text phrases in a socialnetworking website 100, in one embodiment.

FIG. 5 illustrates a sample screen from a user interface for receivingtranslations from a member, in one embodiment.

FIG. 6 illustrates a sample translation input screen displayed to themember after selecting a translate button, in one embodiment.

FIG. 7 illustrates a sample voting screen for receiving votes ontranslated phrases, in one embodiment.

FIG. 8 illustrates a sample screen displaying a translation and aconfidence level in a popup window

The figures depict various embodiments of the present invention forpurposes of illustration only. One skilled in the art will readilyrecognize from the following discussion that alternative embodiments ofthe structures and methods illustrated herein may be employed withoutdeparting from the principles of the invention described herein.

DETAILED DESCRIPTION

A social network offers its members the ability to communicate andinteract with other members of the social network. In use, members jointhe social network and then add connections to a number of other membersto whom they desire to be connected. Connections may be added explicitlyby a member, for example, the member selecting a particular other memberto be a friend, or automatically created by the social network based oncommon characteristics of the members (e.g., members who are alumni ofthe same educational institution). As used herein, the term “friend”refers to any other member to whom a member has formed a connection,association, or relationship via the website. Connections in socialnetworks are usually in both directions, but need not be, so the terms“member” and “friend” may depend on the frame of reference. For example,if Bob and Joe are both members and connected to each other in thewebsite, Bob and Joe, both members, are also each other's friends. Theconnection between members may be a direct connection; however, someembodiments of a social network allow the connection to be indirect viaone or more levels of connections. Also, the term friend need notrequire that members actually be friends in real life, (which wouldgenerally be the case when one of the members is a business or otherentity); it simply implies a connection in the social network.

Social networks can be implemented in various types of systems. Theimplementation of the social network can provide mechanisms for membersto communicate with each other, form connections with each other, storeinformation, and share objects of interest, among other things. Theimplementation can also provide mechanisms for displaying content (e.g.,text, graphics) to members, including content provided by users and bythe social networking system.

The implementation of a social networking system described belowincludes a social networking website that interacts with members atclient computing devices through a web-based interface. However, otherimplementations are possible, such as one or more servers thatcommunicate with clients using various client and server applications(e.g., non-web-based applications). Additionally, a social networkingsystem may not include any centralized server, but rather may beimplemented as a peer-to-peer system with peer-to-peer applicationsrunning on the clients that allow members to communicate and performother functions. One example is a peer-to-peer network of smart phonescommunicating via Short Message Service (SMS) over a cellular network.It can be appreciated that the embodiments of a social networkingwebsite described below can be adapted to various other implementationsof social networking systems.

FIG. 1 illustrates a social network implemented as a social networkingwebsite 100, in one embodiment. The social networking website 100provides various mechanisms to its members to communicate with eachother or to obtain information that they find interesting, such asactivities that their friends are involved with, applications that theirfriends are installing, and comments made by friends on activities ofother friends, just to name a few examples.

In addition to interactions with other members, the social networkingwebsite 100 provides members with the ability to take actions on varioustypes of items supported by the website. These items may include groupsor networks (where “networks” refers not to physical communicationnetworks, but rather to social networks of people) to which members ofthe website may belong, events or calendar entries in which a membermight be interested, computer-based applications that a member may usevia the website, and transactions that allow members to buy, sell,auction, rent, or exchange items via the social networking website 100.These are just a few examples of the items upon which a member may acton the social networking website 100, and many others are possible.

As illustrated in FIG. 1, the social networking website 100 maintains anumber of social network objects 102 for the different kinds of itemswith which a member 106 may interact on the website 100. In one exampleembodiment, these objects include member profiles, group objects, eventobjects, application objects (respectively, hereinafter, profiles,groups, events, and applications). In one embodiment, a social networkobject 102 is stored by the website 100 for each instance of itsassociated item. For example, a member profile object is stored for eachmember who joins the website 100, a group object is stored for eachgroup defined in the website 100, and so on. These social networkobjects 102 may include one or more text phrases 104. Examples of textphrases 104 include profile data or event descriptions. Each text phrase104 is in a particular language, such as English.

The member 106 of the website 100 may take specific actions on thewebsite 100, where each action is associated with one or more socialnetwork objects 102. The types of actions that a member may perform inconnection with an object are defined for each object and largely dependon the type of item represented by the object. Generally a member 106 ofthe social networking website 100 can add content to a social networkobject 102, including text phrases 104. These text phrases 104 may thenbe viewed or possibly modified by other members. Member profiles, groupobjects, and event objects are managed by the social networking website100, and the content of these objects, including text phrases 104, arestored in the social networking website 100.

The social networking website 100 also enables members 106 to addapplications to their profiles. These applications provide enhancedcontent and interactivity within the social networking website 100,which maintains an application object, a type of social networkingobject 102, for each application hosted in the system. The applicationsmay be provided by the website operator and/or by third partydevelopers. An example application is an enhanced messaging service, inwhich members can send virtual objects (such as a “gift” or “flowers”)and an optional message to another member. The application may displayvarious text phrases 104 to members. Applications are generally writtenas server-side code that is run on servers of the social networkingwebsite 100 or on an external application server; an application mayalso use client-side code as appropriate.

The social networking website 100 may also include a social networkinfrastructure 108 containing content created by the social networkingwebsite 100 operator for the functioning of the social networkingwebsite 100. This content may include toolbars, menus, instructionaltext, button labels, and labels describing information from socialnetwork objects (e.g., the phrase “Name:” displayed before the namefield of a profile). This content includes text phrases 104 written in aparticular language (or languages).

FIG. 2 is a high level block diagram illustrating a system environmentsuitable for operation of a social networking website 100, in oneembodiment. The system environment comprises one or more client devices206, one or more application servers 202, a social networking website100, and a network 210. In alternative configurations, different and/oradditional modules can be included in the system.

The client devices 206 comprise one or more computing devices that canreceive member input and can transmit and receive data via the network210. The client devices 206 can display text phrases 104 to members. Forexample, the client devices 206 may be desktop computers, laptopcomputers, smart phones, personal digital assistants (PDAs), or anyother device including computing functionality and data communicationcapabilities. The client devices 206 are configured to communicate vianetwork 210, which may comprise any combination of local area and/orwide area networks, using both wired and wireless communication systems.The client devices 206 may be running a web browser 208 that allowsusers at the client devices to view web pages served by the socialnetworking website 100. These users may be members of the socialnetworking website 100. Other applications similar to web browser 208may also be run on the client device 206 to view content from the socialnetworking website 100.

The social networking website 100 comprises a computing system thatallows members to communicate or otherwise interact with each other andaccess content as described herein. The social networking website 100stores member profiles that describe the members of a social network,including biographic, demographic, and other types of descriptiveinformation, such as work experience, educational history, hobbies orpreferences, location, and the like. The website 100 further stores datadescribing one or more relationships between different members. Therelationship information may indicate members who have similar or commonwork experience, group memberships, hobbies, or educational history.Additionally, the social networking website 100 may includemember-defined relationships between different members, allowing membersto specify their relationships with other members. For example, thesemember-defined relationships allows members to generate relationshipswith other members that parallel the members' real-life relationships,such as friends, co-workers, partners, and so forth. Members may selectfrom predefined types of relationships, or define their own relationshiptypes as needed.

The application server 202 comprises a computing device that hostsexternal applications 204 for the social networking website 100. Theseexternal applications 204 may provide various services for members ofthe social networking website 100 as described above. The externalapplications 204 execute on the application server 202 and communicatewith the social networking website 100 to display content to members,receive input from members, and modify stored data on the socialnetworking website 100. As mentioned above, these external applications204 may include text phrases 104 in various languages.

FIG. 2 contains a block diagram of the social networking website 100. Inthis embodiment, the social networking website 100 includes a web server212, a translation module 214, a source phrases store 216, a translatedphrases store 218, and a translation ratings store 220. In otherembodiments, the social networking website 100 may include additional,fewer, or different modules for various applications. Conventionalcomponents such as network interfaces, security mechanisms, loadbalancers, failover servers, management and network operations consoles,and the like are not shown so as to not obscure the details of thesystem.

The web server 212 links the social networking website 100 via thenetwork 210 to one or more client devices 206. The web server 212 servesweb pages, as well as other web-related content, such as Java, Flash,XML, and so forth. The web server 212 may include a mail server or othermessaging functionality for receiving and routing messages between thesocial networking website 100 and the client devices 206. The messagescan be instant messages, queued messages (e.g., email), text and SMSmessages, or any other suitable messaging technique. The web pages ormessages provided by the web server may include text phrases 104.

The translation module 214 enables the translation of text phrases 104that are displayed to members of the social networking website 100. Asmentioned above, these text phrases 104 may be a part of various socialnetworking objects 102 or may be part of the social networkinfrastructure 108. Members 106 of the social networking website 100 maybe competent in different languages (e.g., French, English). As aresult, certain members may not be able to understand certain textphrases 104 unless they are translated. The translation module 214 thusfacilitates translation of these text phrases 104 to enable more textphrases to be understood by more members 106. These translations mayenable better communications among members 106 who do not understand thesame languages. The translations may also enable better use of thesocial networking website 100 by members that do not understand thelanguage of the text phrases 104 used for the social networkinfrastructure 108. The translation module 214 may facilitate communitytranslations of text phrases 104 by members 106 of the social networkingwebsite 100, further described below.

The source phrases store 216 contains text phrases 104 originallycreated by members 106, by an operator of the social networking website100, or by an application running in the social networking website 100.These text phrases 104 are referred to as source phrases. Source phrasesmay include, for example, text that a member inputs to the socialnetworking website 100 for display on the member's profile. Sourcephrases may also include social network infrastructure text created byan operator. Source phrases may be in any language. A single sourcephrase may be in multiple languages, for example, if a member manuallycreated multiple language versions of the member's profile. Thetranslated phrases store 218 contains translated versions of textphrases 104 in the source phrases store 216 along with a tag orindication of the language of translation and the identity of the membersubmitting the translation. These text phrases are referred to astranslated phrases or translations. A source phrase may have severalcorresponding translated phrases in different languages. The sourcephrases store 216 may include references to corresponding translatedphrases.

The translation ratings store 220 includes ratings of the translatedphrases in the translated phrases store 218. These ratings may indicatethe perceived quality of the translated phrases by members of the socialnetworking website 100, and the ratings may be used for determiningwhich translated phrases to display when a translation of a sourcephrase is requested. The translation ratings store 220 may store votes,weights, and quality scores for translations as described below.

FIG. 3 is a high level diagram illustrating the translation module 214,in one embodiment. The translation module 214 facilitates communitytranslations of text phrases 104 in the social networking website 100 bymembers of the social networking website. The translation module 214 isalso configured to present translated phrases to members when needed. Byusing members of the social networking website 100 to translate the textphrases 104, translation effort and/or expenses are reduced for thesocial networking website operator. The quality of the translations bymembers can be rated through a community-based rating system so thatonly high quality translations are displayed when a translation isrequested. The translation module 214 may be implemented as one or moreapplications within the social networking website 100. For example, atranslation application may be installed and activated by a member. Onceactivated, the member may be provided with user interfaces for inputtingtranslations and for displaying translations.

The translation module 214 includes an identification module 302, aninput module 304, a voting module 306, a weighting module 308, and apresentation module 310. The identification module 302 is configured toidentify source phrases within the social networking website 100 thatcan be translated by a particular member. These source phrases may betext phrases 104 of social networking objects 102 or of the socialnetworking infrastructure 108. The identification module 302 may also beaware of which languages a member knows and be configured to identifytranslations that are needed in those languages.

The input module 304 may receive translations of source phrases bymembers of the social networking website 100. These source phrases mayhave been identified using the identification module 302. The inputmodule 304 is capable of presenting a user interface to a member thatdisplays source phrases and requested translation languages. The userinterface can then receive translated phrases from the member and storethem in the translated phrases store 218.

The voting module 306 may enable members to vote on the quality oftranslated phrases submitted by other members through the input module304. The voting module 306 is capable of presenting a user interface toa member that displays source phrases and corresponding translatedphrases. The user interface can receive a vote from the memberindicating the member's perceived quality of the translation. The votingmodule 306 is capable of collecting votes and storing them in thetranslation ratings store 220. The identity of the member submitting avote may also be stored with each vote in the translation ratings store220.

The weighting module 308 is configured to assign weights to votescollected by the voting module 306. A weight of a vote may indicate thevoter's credibility and be based on the voter's translation ability (asdetermined by votes received for the voter's translations). Theweighting module 308 is also capable of calculating a quality score fora translation based on the weighted votes. The weighting module 308 maystore weights and scores in the translation ratings store 220.

The presentation module 310 is configured to present translated phrasesto members when needed. The translated phrases may be presented throughvarious user interfaces and may be presented automatically or based on arequest from a member. The selection of a translated phrase to presentmay be based on quality scores determined by the weighting module 308.

Embodiments of the system described above can be used for translatingtext phrases in a social networking website 100. FIG. 4 illustrates amethod for translating text phrases 104 in a social networking website100, in one embodiment. Initially the identification module 302identifies 402 translatable text, or source phrases, for translation bya particular member. The identification module 302 may identify thesource phrases responsive to a request received from the memberindicating the member is interested in translating text. For example,the member may click on a “Find text to be translated” button in atranslation application in the social networking website 100. Theidentification module 302 may also receive input from the member toidentify more appropriate text for translation. For example, theidentification module 302 may receive information from the memberspecifying a translation language.

The identification module 302 may then identify source phrases that canbe translated to that language (i.e., phrase that are not in the desiredlanguage but are in a language that the translation module 214 iscapable of translating to the desired language). The identificationmodule 302 obtains source phrases for translation from text phrases 104within social network objects 102 or from the social networkinfrastructure 108, in one embodiment. Social network objects 102 caninclude application objects created by an external application 204. Theidentification module 302 may store identified source phrases in thesource phrases store 216.

Next, the input module 304 receives 404 translations from members. Theinput module 304 can receive source phrases for translation from theidentification module 302 or from the source phrases store 216. In oneembodiment, the input module 304 presents a user interface to a memberthat displays source phrases for translation and receives translationsfrom the member. The user interface may be displayed responsive to aselection by the member indicating that the member desires to providetranslations of phrases (e.g., the member selects a “translate phrases”button).

FIG. 5 illustrates a sample screen 500 from a user interface forreceiving translations from a member, in one embodiment. The screen 500may be displayed in the web browser 208 of a member of the socialnetworking website 100. The screen 500 includes a list of source phrases504 identified for translation by the identification module 302. Thescreen 500 also includes a language indication 502 that displays therequested translation languages for the source phrases 504. In this casethe requested translation is from English to Spanish.

Some source phrases 504 may include “tokens” that are not intended to betranslated along with a phrase, but rather are placeholders for text tobe included in the translated phrase when it is displayed. For example,phrase 504B includes the token “[mobile-items]”. The token is displayedin brackets to indicate to the member providing the translation that itis a token. When the translated text is later displayed to a memberneeding a translation, the token is replaced with appropriate text. Forexample, the “[mobile-items]” token may be replaced with a particulartab name, such as “Mobile”, used by the social networking website 100.The text that replaces the token may be previously translated text, andthe use of a token can avoid re-translating a word or phrase for which ahigh quality translation is already available.

The member can select a source phrase 504 to translate by selecting thetranslate button 506 corresponding to the desired source phrase. FIG. 6illustrates a sample translation input screen 600 displayed to themember after selecting the translate button 506 corresponding to sourcephrase 504C. The translation input screen 600 may be a pop-up screendisplayed over the screen 500 illustrated in FIG. 5. The translationinput screen 600 displays the source phrase 602 to be translated andprovides an input text box 604 to receive the member's translation. Inthe illustrated input text box 604, the member has typed in atranslation based on the member's knowledge of Spanish (and English).The member then selects the translate button 606 to submit thetranslation to input module 304. In one embodiment, the translation isthen stored in the translated phrases store 218, and the source phrasesstore 216 is updated so that the corresponding source phrase is linkedto the new translated phrase.

The translation input screen 600 can also include additional informationto assist the user in providing a high quality translation. In oneembodiment, the additional information can describe the context of thesource phrase. For example, if the source phrase is “Save”, the contextinformation may state “A button used to save your settings” to clarifythe intended meaning of “Save”. Various separate translations can beobtained for the same source phrase used in different contexts.

The translation input screen 600 may also provide a “tokenizer” forinserting tokens into the translated phrase if the source phraseincludes tokens. For example, if the member is translating source phrase504B, a button or link can be provided in the translation input screen600 for inserting the token “[mobile-items]” into the translated phrasein the text box 604. The member can position the cursor at anappropriate point in the text box 604 and select the button or link,causing the input module 304 to automatically insert the token into thetranslated phrase. In one embodiment, the system may require that alltokens be used for the translation to be accepted.

In one embodiment, a member may submit a translated phrase from anylocation in the social networking website, rather than from a speciallyprovided screen 500 for receiving translations. For example, the membermay select a particular text phrase 104 that the member desires totranslate. This phrase may appear in a social network object 102 or insocial network infrastructure 108 the member is viewing on a currentlydisplayed webpage. The phrase may originate from an external application204 or other source external to the social networking website 100. Themember may highlight the desired phrase in the member's web browser 208and make a selection to indicate that the member wants to translate thehighlighted phrase (e.g., using a menu or a button). Then, a translationinput screen 600 can be displayed in a popup window to receive thetranslation. In one embodiment, the identification module 302 mayidentify possible phrases for translation on a particular web page andhighlight these phrases. The member can then make a selection from amongthe highlighted phrases.

The input module 304 may provide various features to assist members intranslating text phrases. The input module 304 may provide a discussionboard so that members may discuss issues regarding specifictranslations. Members use the discussion board to view what has beendiscussed about a specific translation before submitting a newtranslation or voting on the translation. The input module 304 may alsoprovide a glossary and/or style guide to assist a member in creating atranslated phrase or in voting on translated phrases. The input module304 may also include a spell-check for various languages. The inputmodule 304 may display previously submitted translations for textphrases that are similar to the text phrase being translated to assistthe member in translating. The input module 304 may allow a member toview his or her previously submitted translations and edit the submittedtranslated phrases, updating the translated phrases store 218.

Returning to FIG. 4, the voting module 306 receives 406 votes ontranslations from members, in one embodiment. The member votes onvarious translated phrases, the vote indicating the member's perceivedquality of the translation. In one embodiment, the member is notpermitted to vote on translations submitted by that member. Receivedvotes can be stored in the translation ratings store 220. Along witheach vote can be stored the identity of the member submitting the voteand a link to the translation voted on in the translation store 218.

FIG. 7 illustrates a sample voting screen 700 for receiving votes ontranslated phrases. The voting screen 700 is provided by the votingmodule 306 and may be displayed to a member responsive to receiving anindication that the member desires to vote on translations, for exampleby the member selecting a “Vote on translations” button in the socialnetworking website 100. The voting screen 700 includes an identification702 of the language of the source phrases 704 and correspondingtranslated phrases 706. The translated phrases 706 were created bymembers using the input module 304, in one embodiment.

To indicate that a particular translation is of high quality, a memberselects the vote-up button 712 corresponding to the translation. Toindicate that a particular translation is of low quality, a memberselects the vote-down button 710 corresponding to the translation. Inone embodiment, a member is only allowed to submit one vote for eachtranslation. A vote total 708 may be displayed for a translation,possibly only after the member has submitted a vote for the translation.A higher vote total indicates translation that has a perceived higherquality by members of the social networking website 100. The votingscreen 700 may also include a button for voters to flag vulgar oroffensive translations for review by an operator of the socialnetworking website. This flagging feature may also include an option toindicate the reason for flagging.

In one embodiment, steps 402, 404, and 406 described above comprise adata gathering portion of a method for translating text in a socialnetworking website. Members may submit translations for various textphrases and these text phrases may be voted on by other members. Thesubmitted translations and votes are stored in the translated phrasesstore 218 and translated ratings store 220 as described above. Thetranslations and votes, along with related information such as theidentities of the submitters of the translations and votes, are thenretrieved and processed responsive to a request to view a translation.This request to view a translation may originate from a member viewingtext for which a translation is available and the member making aselection to request a translation, for example. A request to view atranslation can also be automatically generated by the social networkingwebsite. The processing responsive to a request to view a translationincludes the steps performed by the weighting module 308 and thepresentation module 310 as described below. These modules select andpresent a translation to a particular member that is appropriate forthat member.

The weighting module 308 applies 408 weights to the votes received bythe voting module 306 and determines a weighted quality score for eachtranslation. The weight assigned to a particular vote is also referredto as the vote's credibility coefficient. In one embodiment, the weightassigned to a vote represents an estimate of the ability of the voter totranslate content or the ability of the voter to evaluate translatedcontent. For example, a vote by a voter who has previously submittedtranslations that received a relatively high number of positive votesmay be assigned a larger weight than a vote by a voter who has receiveda relatively high number of negative votes for submitted translations. Avalue of a vote (e.g., 1 for an up vote and −1 for a down vote) can bemultiplied by the vote's weight to determine the vote's contribution tothe weighted quality score for the translation. Votes that are givenheavier weights have a greater effect on the weighted quality scoredetermined for the translated phrase. The vote total 708 displayed onthe voting screen may be an unweighted vote count or a weighted qualityscore. In one embodiment, a translation with a higher weighted qualityscore is preferred over a translation with a lower weighted qualityscore when choosing a translation to present to members.

The weighted quality score may also take into account various factors tomake it more customized to the member requesting the translation. Asmentioned above, a member may have several friends in a socialnetworking website. The member may consider these friends moretrustworthy than other members of the social networking website that themember doesn't know. As a result, votes from friends of the member maybe more heavily weighted than votes from others. In one embodiment, onlythe votes from friends of the member are considered in determining theweighted quality score. Additionally, when determine weights to assignto votes, only friends of the member can be considered. In this case,for example, only votes by friends of the member on a previoussubmission by the voter are considered in determining the weight of avote by the voter.

The weighting module 308 may also determine a translation controversyindex for a particular translation based on voting patterns. Thetranslation controversy index may be used to identify translations thatare the subject of contested or controversial voting patterns. Forexample, a translation receiving 100 up votes and 98 down votes may beassigned a high controversy index and be considered controversial. Theweights of votes and the competitiveness of the voting pattern may betaken into account when determining the translation controversy index.In one embodiment, a translation with a low controversy index ispreferred over a translation with a high controversy index when choosinga translation to present to members.

The presentation module 310 presents 410 the translated phrases tomembers to enable the members to better understand text phrases 104 inthe social networking website 100. In one embodiment, the presentationmodule 310 receives an indication from a member that the member desiresto view translated phrases. The member may indicate which text phrasesto display in translated form. These can include all text phrases, alltext phrases on the currently displayed webpage, or certain types oftext phrases, for example. As mentioned above, text phrases fromexternal application 204 on an application server 202 outside of thesocial networking website 100 may be translated. Also, text phrases fromthe social networking website infrastructure 108 may be translated.

The presentation module 310 retrieves translated phrases from thetranslated phrases store 218 corresponding to source phrases for which atranslation is desired. In one embodiment a member activates a“translation mode” to view translated phrases. In one embodiment, thetranslation mode is activated by selecting a control (e.g., checking abox) on a webpage of the social networking website 100. This selectionis received by the presentation module 310, and the presentation moduledisplays translated phrases until the translation mode is deactivated.The presentation module may also receive a selection of a translationlanguage from the member. For example, the member may specify thetranslation language through a pull-down menu on a webpage of the socialnetworking website 100.

The presentation module 310 may display translated phrases in place ofthe original text phrases 104 on a displayed webpage. The translatedphrases may be highlighted, underlined, or displayed in a differentcolor from untranslated phrases. In one embodiment, only the originaluntranslated text is displayed on the webpage, but text phrases with atranslation available are highlighted. A member viewing the webpage thenselects or mouses-over a highlighted text phrase to display thetranslation in a pop-up window. A member may be able to submit votes ontranslated text presented by the presentation module 310. A member mayalso be able to request an alternate translation. The member may do thisif the currently displayed translation doesn't make sense to the member.

The presentation module 310 may receive a selection indicating that onlytranslations submitted by a particular member or set of members are tobe displayed. For example, a member may specify that only translationsby that member and that member's friends should be displayed. A membermay also specify that only translations that have received a certainnumber of votes and/or a certain quality score should be displayed. Ifmultiple translations are available for a particular text phrase, thepresentation module 310 may choose a translation to display based onvarious factors such as weighted or unweighted quality scores ortranslation controversy indexes determined by the weighting module 308.The presentation module 310 only displays translations having a qualityscore above a predetermined threshold, in one embodiment. As mentionedabove, this quality score may take into account the connections a memberhas within the social networking website, such as weighting votes fromthe member's friends more heavily.

The presentation module 310 may also use other information to determinewhich translation to present to a member. In particular, thepresentation module 310 may use information associated with the member'sfriends (or other connections) since the member may generally find themember's friends to be trustworthy and to have interests in common withthe member. This information may comprise relationships between themember's friends and the translations available for selection. Forexample, translations viewed by friends of the member can be selectedfor presentation to the member. A translation frequently viewed byfriends of a member can be automatically displayed to a member withoutrequiring the member to select the appropriate source phrase on thedisplayed webpage for translation. Similarly, translations rejected byfriends of the member can be avoided for presentation to the member(even if the translation has been voted highly overall). For example, ifseveral of a member's friends requested alternate translations when aparticular translation was displayed, that translation can be avoidedwhen selecting a translation to present to the member.

Also, as mentioned above, the submitters of the translations may be usedin deciding which translation to select for display to a member. Atranslation submitted by a friend of the member may be preferred over atranslation submitted by someone else. Similarly, a translationsubmitted by someone who has generally received good votes from friendsof the member may be preferred over other translations, even if thesubmitter is not a friend of the member. In one embodiment, a member mayidentify certain friends as being good translators, and the presentationmodule may give preference to translations by those friends whenselecting a translation. In one embodiment, friends (or other members)of the social networking website that are members of a “translators”group may have their translations preferred by the presentation module.A translators group may be a group of the social networking websitewhere membership is restricted to members consistently producing highquality translations (as determined by a group moderator, for example).

The presentation module 310 may also display a confidence level alongwith a displayed translation. This confidence level may be expressed ona particular scale, such as from 0% to 100% or may be expressed using agraphical indication (e.g., a color). The confidence level may bederived from the weighted quality score or translation controversy indexassociated with the translation. This confidence level may take intoaccount the member's friends, such as weighting votes by friends moreheavily in the quality score. The confidence level may provide anindication of what percentage of the member's friends have viewed thistranslation and what percentage of the member's friends have requestedalternate translations when shown this translation. Generally, thetranslation with the highest confidence level is displayed first to amember. The presentation module 310 may also display information aboutspecific friends, such as which friends viewed the translation or whichfriends requested an alternate translation.

FIG. 8 illustrates a sample screen from the social networking website100 with a translation and a confidence level displayed in a popupwindow. This window may be displayed responsive to a user selecting thephrase “Name”.

The presentation module 310 may also display statistics concerningavailable translations in the social networking website 100 (or in aportion of the social networking website). For example, a map of theworld or other visual representation may be displayed showing statisticsconcerning translated content and/or the languages translated. One suchstatistic could display the number of translations available in aparticular language on countries on a world map where the particularlanguage is commonly spoken.

The foregoing description of the embodiments of the invention has beenpresented for the purpose of illustration; it is not intended to beexhaustive or to limit the invention to the precise forms disclosed.Persons skilled in the relevant art can appreciate that manymodifications and variations are possible in light of the abovedisclosure.

Some portions of this description describe the embodiments of theinvention in terms of algorithms and symbolic representations ofoperations on information. These algorithmic descriptions andrepresentations are commonly used by those skilled in the dataprocessing arts to convey the substance of their work effectively toothers skilled in the art. These operations, while describedfunctionally, computationally, or logically, are understood to beimplemented by computer programs or equivalent electrical circuits,microcode, or the like. Furthermore, it has also proven convenient attimes, to refer to these arrangements of operations as modules, withoutloss of generality. The described operations and their associatedmodules may be embodied in software, firmware, hardware, or anycombinations thereof.

Any of the steps, operations, or processes described herein may beperformed or implemented with one or more hardware or software modules,alone or in combination with other devices. In one embodiment, asoftware module is implemented with a computer program productcomprising a computer-readable medium containing computer program code,which can be executed by a computer processor for performing any or allof the steps, operations, or processes described.

Embodiments of the invention may also relate to an apparatus forperforming the operations herein. This apparatus may be speciallyconstructed for the required purposes, and/or it may comprise ageneral-purpose computing device selectively activated or reconfiguredby a computer program stored in the computer. Such a computer programmay be stored in a tangible computer readable storage medium or any typeof media suitable for storing electronic instructions, and coupled to acomputer system bus. Furthermore, any computing systems referred to inthe specification may include a single processor or may be architecturesemploying multiple processor designs for increased computing capability.

Embodiments of the invention may also relate to a computer data signalembodied in a carrier wave, where the computer data signal includes anyembodiment of a computer program product or other data combinationdescribed herein. The computer data signal is a product that ispresented in a tangible medium or carrier wave and modulated orotherwise encoded in the carrier wave, which is tangible, andtransmitted according to any suitable transmission method.

Finally, the language used in the specification has been principallyselected for readability and instructional purposes, and it may not havebeen selected to delineate or circumscribe the inventive subject matter.It is therefore intended that the scope of the invention be limited notby this detailed description, but rather by any claims that issue on anapplication based hereon. Accordingly, the disclosure of the embodimentsof the invention is intended to be illustrative, but not limiting, ofthe scope of the invention, which is set forth in the following claims.

1-26. (canceled)
 27. A computer implemented method comprising: for each of a plurality of members of a social networking system, maintaining a respective set of connections to other members of the social networking system; receiving a request for content from a particular member, the content including a text phrase in a first language; selecting, by a computer system, a translation of the text phrase from a set of translations of the text phrase in a second language, wherein the selecting is based on one or more actions by one or more other members identified in the set of connections for the particular member maintained by the social networking system, wherein the actions are associated with translations from the set of translations; and presenting the selected translation of the text phrase to the particular member.
 28. The method of claim 27, wherein the text phrase comprises a portion of a social networking system object.
 29. The method of claim 28, wherein the social networking system object comprises an external application.
 30. The method of claim 27, wherein the text phrase comprises a portion of a social networking system infrastructure.
 31. The method of claim 27, wherein the selecting is based on which of the translations from the set of translations were viewed by the one or more other members connected to the particular member.
 32. The method of claim 27, wherein the selecting is based on which of the translations from the set of translations were created by the one or more other members connected to the particular member.
 33. The method of claim 27, wherein the selecting is based on which of the translations from the set of translations were rejected by the one or more other members connected to the particular member, the rejecting of a translation comprising a member connected to the particular member requesting an alternate translation after viewing the translation.
 34. The method of claim 27, further comprising: determining quality scores for the translations in the set of translations based on votes received from voting members of the social network, each vote indicating the voting member's perceived quality of the translation; and wherein the selecting is based on a comparison of the quality scores for the translations in the set of translations.
 35. The method of claim 34, further comprising: determining a weight for each received vote, the weight indicating the vote's relative contribution to the quality score.
 36. The method of claim 35, wherein the weight of a vote submitted by a voting member is based on the perceived quality among members of translations previously submitted by the voting member.
 37. The method of claim 35, wherein the weight of a vote submitted by a voting member who is connected to the particular member requesting the translation is weighted more heavily than a vote submitted by a voting member who is not connected to the particular member requesting the translation.
 38. The method of claim 27, wherein presenting the selected translation to the member requesting the translation further comprises: displaying a confidence level associated with the selected translation, the confidence level based on actions by the one or more other members connected to the particular member in the social network, the actions associated with translations from the set of translations.
 39. The method of claim 27, wherein each of the set of connections is maintained by the social networking system in association with a user profile of each member.
 40. A computer program product comprising a non-transitory computer-readable storage medium containing computer program code for: for each of a plurality of members of a social networking system, maintaining a respective set of connections to other members of the social networking system; receiving a request for content from a particular member, the content including a text phrase in a first language; selecting, by a computer system, a translation of the text phrase from a set of translations of the text phrase in a second language, wherein the selecting is based on one or more actions by one or more other members identified in the set of connections for the particular member maintained by the social networking system, wherein the actions are associated with translations from the set of translations; and presenting the selected translation of the text phrase to the particular member.
 41. The computer program product of claim 40, wherein the text phrase comprises a portion of a social networking system object.
 42. The computer program product of claim 41, wherein the social networking system object comprises an external application.
 43. The computer program product of claim 40, wherein the text phrase comprises a portion of a social networking system infrastructure.
 44. The computer program product of claim 40, wherein the selecting is based on which of the translations from the set of translations were viewed by the one or more other members connected to the particular member.
 45. The computer program product of claim 40, wherein the selecting is based on which of the translations from the set of translations were created by the one or more members connected to the particular member.
 46. The computer program product of claim 40, wherein the selecting is based on which of the translations from the set of translations were rejected by the one or more members connected to the particular member, the rejecting of a translation comprising a member connected to the particular member requesting an alternate translation after viewing the translation.
 47. The computer program product of claim 40, wherein the computer code is further configured for: determining quality scores for the translations in the set of translations based on votes received from voting members of the social network, each vote indicating the voting member's perceived quality of the translation; and wherein the selecting is based on a comparison of the quality scores for the translations in the set of translations.
 48. The computer program product of claim 47, wherein the computer code is further configured for: determining a weight for each received vote, the weight indicating the vote's relative contribution to the quality score.
 49. The computer program product of claim 48, wherein the weight of a vote submitted by a voting member is based on the perceived quality among members of translations previously submitted by the voting member.
 50. The computer program product of claim 47, wherein the weight of a vote submitted by a voting member who is connected to the member requesting the translation is weighted more heavily than a vote submitted by a voting member who is not connected to the particular member requesting the translation.
 51. The computer program product of claim 40, wherein presenting the selected translation to the particular member requesting the translation further comprises: displaying a confidence level associated with the selected translation, the confidence level based on actions by the one or more other members connected to the member in the social network, the actions associated with translations from the set of translations.
 52. The computer program product of claim 40, wherein each of the set of connections is maintained by the social networking system in association with a user profile of each member. 